Data Mining Techniques for the Life Sciences 2nd Edition by Oliviero Carugo,Frank Eisenhaber 1493935704 9781493935703

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ISBN 10:1493935704 
ISBN 13:9781493935703
Author:Oliviero Carugo,Frank Eisenhaber

This volume details several important databases and data mining tools. Data Mining Techniques for the Life Sciences, Second Edition guides readers through archives of macromolecular three-dimensional structures, databases of protein-protein interactions, thermodynamics information on protein and mutant stability, “Kbdock” protein domain structure database, PDB_REDO databank, erroneous sequences, substitution matrices, tools to align RNA sequences, interesting procedures for kinase family/subfamily classifications, new tools to predict protein crystallizability, metabolomics data, drug-target interaction predictions, and a recipe for protein-sequence-based function prediction and its implementation in the latest version of the ANNOTATOR software suite. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.

Authoritative and cutting-edge, Data Mining Techniques for the Life Sciences, Second Edition aims to ensure successful results in the further study of this vital field.

Data Mining Techniques for the Life Sciences 2nd  Table of contents:

Update on Genomic Databases and Resources at the National Center for Biotechnology Information

Protein Structure Databases

The MIntAct Project and Molecular Interaction Databases

Applications of Protein Thermodynamic Database for Understanding Protein Mutant Stability and Designing Stable Mutants

Classification and Exploration of 3D Protein Domain Interactions Using Kbdock

Data Mining of Macromolecular Structures

Criteria to Extract High-Quality Protein Data Bank Subsets for Structure Users

Homology-Based Annotation of Large Protein Datasets

Computational Techniques

Identification and Correction of Erroneous Protein Sequences in Public Databases

Improving the Accuracy of Fitted Atomic Models in Cryo-EM Density Maps of Protein Assemblies Using Evolutionary Information from Aligned Homologous Proteins

Systematic Exploration of an Efficient Amino Acid Substitution Matrix: MIQS

Promises and Pitfalls of High-Throughput Biological Assays

Optimizing RNA-Seq Mapping with STAR

Prediction Methods

Predicting Conformational Disorder

Classification of Protein Kinases Influenced by Conservation of Substrate Binding Residues

Spectral–Statistical Approach for Revealing Latent Regular Structures in DNA Sequence

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Oliviero Carugo,Frank Eisenhaber,Mining,Techniques,Life